Andrew D. Graham

Randomized comparison of lipid‐containing and non‐lipid‐containing artificial tears on tear film dynamics over a 3‐month period

Jennifer E. Ding, Anisha Pradhan, Dorothy K. Ma, Andrea J. FazioLiu et autres

PURPOSE: To study the effects of a lipid-containing artificial tear (AT) and a non-lipid-containing AT on tear film dynamics over a 3-month period. METHODS: Subjects with low lipid layer thickness were randomized to lipid-containing or non-lipid-containing ATs for 3 months. At each …

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Novel Visible-Light Curable Hydrogel for Closure of Sclerotomy Wounds in Pars Plana Vitrectomy

Luis Acaba-Berrocal, Ghasem Yazdanpanah, D. Schaumann, Spencer Melgreen et autres

Purpose: To evaluate the efficacy and stability of a visible-light curable hydrogel as a natural bioadhesive for closure of sclerotomy wounds. Methods: Sclerotomy wound closures were performed ex vivo on cadaveric human sclera and adult porcine eyeballs using a visible-light curable hydrogel, …

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Cognition in Virtual Reality: Assessing User Acceptability and Feasibility of Virtual Reality Cognitive Screening for Older Adults

Frank Ho‐yin Lai, Benjamin K. Yee, Eileen Han‐Jie Wang, Joe Butler et autres

BACKGROUND: Cognitive health significantly influences the ageing journey, and virtual reality gamified tools offer innovative approaches for evaluating cognitive function. METHOD: This study explores the acceptability and feasibility of a Virtual Reality Working Memory Test (VRWMT), a gamified cognitive assessment tool in …

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210PExpanding the UK FSHD patient registry dataset - improving data collection and amplifying ‘patient voice’

H. Walker, LaTonya J. Hickson, R. Muni-Lofra, Elizabeth Matthews et autres

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Morphological Characteristics of the Meibomian Glands: Impact of Demographics and Contact Lens Wear

Andrew D. Graham, Chun-Hsiao Yeh, Meng C. Lin

Purpose: To determine the impact of age, sex, ethnicity, and contact lens wear on the detailed morphology of the Meibomian glands as quantified by a deep learning segmentation model. Methods: A large dataset of meibography images (n = 2233) from 560 subjects …

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Cognition in virtual reality: assessing user acceptability and feasibility of virtual reality cognitive screening for older adults

Frank Ho‐yin Lai, Benjamin K. Yee, Eileen H J Wang, Joe Butler et autres

Introduction: The global demographic shift towards an older population necessitates innovative methods to assess cognitive abilities, particularly spatial working memory, which is crucial for daily living and early detection of neurocognitive conditions like Alzheimer's disease. Methods: This qualitative study utilised the Virtual …

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A Novel Approach for Analysis of Rocking Curve X-Ray Diffraction Imaging Data (RC-XRDI) on 4H-SiC Using Cumulative Integrated Intensity (CII) Method

Arash Estiri, Richard Bytheway, Tamzin Lafford, Oliver Fox et autres

This paper presents a novel method of using cumulative integrated intensity (CII) to analyse rocking curve x-ray diffraction imaging (RC-XRDI) data. This method overcomes several limitations of traditional complex non-ideal curve fitting, which often results in inaccurate peak detection and full width …

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Artificial intelligence models utilize lifestyle factors to predict dry eye related outcomes

Andrew D. Graham, Jiayun Wang, Tejasvi Kothapalli, Jennifer Ding et autres

The purpose of this study is to examine and interpret machine learning models that predict dry eye (DE)-related clinical signs, subjective symptoms, and clinician diagnoses by heavily weighting lifestyle factors in the predictions. Machine learning models were trained to take clinical assessments …

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Reading techniques

Andrew D. Graham

A pilot study of the impact of repeated blink refrainment on ocular surface temperature and the interblink period

Wing Li, Andrew D. Graham, Meng C. Lin

SIGNIFICANCE: This study examines a potential stress test of repeated blink refrainment and its effects on the interblink period and the rate of evaporative ocular surface cooling. Such a test could aid in the study of computer vision syndrome, in which screen …

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Insight: A Multi-Modal Diagnostic Pipeline using LLMs for Ocular Surface Disease Diagnosis

Chun-Hsiao Yeh, Jiayun Wang, Andrew D. Graham, Andrea J. Liu et autres

Accurate diagnosis of ocular surface diseases is critical in optometry and ophthalmology, which hinge on integrating clinical data sources (e.g., meibography imaging and clinical metadata). Traditional human assessments lack precision in quantifying clinical observations, while current machine-based methods often treat diagnoses as …

A machine learning approach to predicting dry eye-related signs, symptoms and diagnoses from meibography images

Andrew D. Graham, Tejasvi Kothapalli, Jiayun Wang, Jennifer Ding et autres

Purpose: To use artificial intelligence to identify relationships between morphological characteristics of the Meibomian glands (MGs), subject factors, clinical outcomes, and subjective symptoms of dry eye. Methods: A total of 562 infrared meibography images were collected from 363 subjects (170 contact lens …

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